CollectiveIntelligenceAdmin at 14:49, 1 September 2026

2026-09-01T14:49:09Z

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=== INDUX-R Project ===
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! CORDIS Reference !! Start date !! End date !! Coordinator
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| https://cordis.europa.eu/project/id/101135556 || 01/01/2024 || 31/12/2026 || ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS / GREECE
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=== Project description ===
In an intriguing historical twist, Joseph von Fraunhofer’s once-secret optics work contrasts with today’s dominance of non-European players in industrial extended reality (XR). With this in mind, the EU-funded INDUX-R project aims to revolutionise Europe’s XR industry. Facing fragmentation and investment challenges, INDUX-R proposes a human-centric XR ecosystem, empowering users and fostering innovation. It focuses on core XR technologies and addresses multi-user challenges with scalable 5G architecture and secure IoT networks. With diverse applications from event planning to virtual medical training, INDUX-R emphasises user involvement and ethical development, aligning technological progress with European values. By bridging scientific breakthroughs and real-world needs, INDUX-R aims to reshape European industries and societal norms.

=== Project outputs ===
==== Publications ====
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! Domain !! Type of output !! Title !! DOI URL
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| AI, Machine Learning & Data Science || Peer reviewed articles || Time-Series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework || https://doi.org/10.1109/JSEN.2025.3526362
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| Audio, Speech & NLP || Conference proceedings || INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition || https://doi.org/10.21437/INTERSPEECH.2024-97
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| Audio, Speech & NLP || Conference proceedings || Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition || https://doi.org/10.48550/ARXIV.2406.06665
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| Audio, Speech & NLP || Peer reviewed articles || Audio Enhancement for Computer Audition—An Iterative Training Paradigm Using Sample Importance || https://doi.org/10.48550/ARXIV.2408.06264
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| Computer Vision, 3D Modeling & Rendering || Peer reviewed articles || Overcoming occlusions in AR, via multi-view, real-time 3D human pose estimation || https://doi.org/10.1007/S00138-025-01783-9
|}

INDUX-R - Revision history

CollectiveIntelligenceAdmin at 14:49, 1 September 2026